MetaVoice is a research tool, bridging the gap between research fields investigating voice patterns in different (neuro)psychiatric disorders. At the moment, MetaVoice contains studies on voice patterns within 3 domains: Schizophrenia, Autism Spectrum Disorder, Hemisphere Damage. Across these domains, there are currently 117 effect sizes from 73 papers, including 3419 subjects.
These aggregated data help to acquire better estimates of effect sizes across disorders, languages of participants and experimental methods. Thereby, it also becomes possible to explore the impact of potential moderators. The power analysis tool allows researchers to plan future studies with adequate sample sizes.
Learn more about the background of this page in “Reports - Our Bachelor’s Project”.
Datasets tab.Statistical Approach tab.Field Specification tab.Contributing to MetaVoice tab.Export Data tab.Meta-Analyses tab. Please note that data and visualisations are under development at the moment (Autumn 2020) and should not be taken as definitive.
On this page you can find all the datasets currently available on the MetaVoice website divided by domain (Schizophrenia, Autism Spectrum Disorder, Hemisphere Damage). By clicking on the links, more information about the datasets can be found.
Voice patterns in schizophrenia: A systematic review and Bayesian meta-analysis
Citation: Parola, A., Simonsen, A., Bliksted, V., & Fusaroli, R. (2020). Voice patterns in schizophrenia: A systematic review and Bayesian meta-analysis. Schizophrenia Research, 216, 24-40.
N papers = 27, N effect sizes = 33
description
Curator: LNJ, ND
Comments: Dataset from the original MA was provided by Riccardo Fusaroli.
Is voice a marker for Autism spectrum disorder? A systematic review and meta-analysis
Citation: Fusaroli, R., Lambrechts, A., Bang, D., Bowler, D. M., & Gaigg, S. B. (2017). Is voice a marker for Autism spectrum disorder? A systematic review and meta‐analysis. Autism Research, 10(3), 384-407.
N papers = 23, N effect sizes = 34
NA
Curator: LNJ, ND
Comments: Dataset from the original MA was provided by Riccardo Fusaroli
Citation: Weed, E., & Fusaroli, R. (2020). Acoustic Measures of Prosody in Right-Hemisphere Damage: A Systematic Review and Meta-Analysis. Journal of Speech, Language, and Hearing Research, 1-14.
N papers = 16, N effect sizes = 34
description
Curator: LNJ, ND
Comments: Dataset from the original MA was provided by Riccardo Fusaroli. SDs of 0 were replaced through dataimputation
Citation: Weed, E., & Fusaroli, R. (2020). Acoustic Measures of Prosody in Right-Hemisphere Damage: A Systematic Review and Meta-Analysis. Journal of Speech, Language, and Hearing Research, 1-14.
N papers = 7, N effect sizes = 16
description
Curator: LNJ, ND
Comments: Dataset from the original MA was provided by Riccardo Fusaroli. SDs of 0 were replaced through dataimputation
First of all, thank you for your support and your wish to contribute to MetaVoice.
There are several ways in which you can contribute to the website and its contents. In general, you are always welcome to suggest new data and/or ideas for the website. Moreover, you are also more than welcome to join our team. Please see below, and contact us if you are interested in contributing.
Suggest and/or add data to an existing meta-analysis on the website:
If you find or have conducted a study related to the field of voice patterns in (neuro)psychiatric disorders, which is not yet available on the MetaVoice website, you can suggest it as an addition to an already existing meta-analysis. This applies to data from both published and unpublished papers. How: Email the curator of the existing meta-analysis with information on the study you found, and preferably include a link to or a pdf of the full text. This also applies if you are the author of the study. Ideally (but not necessarily), make the data fit the [MA template] (https://docs.google.com/spreadsheets/d/1RGemYuBDHG-xWClwralPGeMkqwknW7i4fHqKE-vnvfI/edit#gid=1868444185), or make sure that the necessary data are provided in the email. From here, we will let you know how we/you can add the data to the existing meta-analysis.
Suggest and/or add a new meta-analysis:
If you find or have conducted a meta-analysis within the field of voice patterns in (neuro)psychiatric disorders, which is not yet available on the MetaVoice website, you can suggest this as a new meta-analysis within the particular domain. If your meta-analysis is related to a new domain see Suggest a new domain to be added below. How: Email one of the team members with information on the meta-analysis, and preferably include a link to or a pdf of the full text (if published), or make sure that information about the data and the data itself is provided in the email (if unpublished). Ideally (but not necessarily), make the data fit the MA template.
Create a new meta-analysis: If you want to contribute by creating your own meta-analysis, please see the tutorial on the MetaLab website. This page will guide you through the different steps of creating a meta-analysis. Be aware that the tutorial page was created based on the field of cognitive development research, rather than voice patterns in (neuro)psychiatric disorders. Therefore, the MA template for voice patterns in (neuro)psychiatric disorders, and the Field specifications for voice patterns in (neuro)psychiatric disorders](link) should be used when creating a meta-analysis within this field.
Suggest a new domain to be added: If you have an idea of a domain to be added within the field of voice patterns in (neuro)psychiatric disorders, you can contribute by suggesting this domain to us. How: Email one of the team members with your suggestion, including the relevance of the domain and possible meta-analyses related to that domain. Please include a link to or a pdf of the full text(s), and we will get back to you.
As a curator, you will receive an email once a year, listing all of the meta-analyses which you are responsible for, and asking you whether you will continue to be a curator.
Suggest website features: If you want to contribute to the website by adding new features, or have other good ideas, you can let us know through github or contact one of the team members. Please make it clear, what you would change, and how you would implement this.
Replicate the website within your own field of interest: Another way in which you can contribute, is by advocating the underlying aim of the website. That is, promoting a framework emphasising open science, open code, the importance of cumulative science, etc. You can do this by replicating the website within your own field of interest, and thereby make cumulative science more open and accessible in your field. For a tutorial/instructions on how to replicate the website, see replication of MetaVoice.
If you have contributed with a meta-analysis of which you are the author, you might have some questions regarding the ownership of your data. Even though your meta-analysis is added to the webpage, you remain the owner of your meta-analysis data. Therefore, researchers using data from MetaVoice have to cite the publications related to your meta-analysis.
All analyses on the site are conducted with the metafor package (Viechtbauer, 2010).
Effect size computation is handled by a function called mv_compute_es, which can be found in the script mv_functions.R(https://github.com/LNJ-ND/MetaVoice_Website/blob/master/mv_functions.R). This function is based on a script compute_es.R, which has been developed by MetaLab. MetaLab cites Hedges & Olkin’s textbook as providing most of the formulas in the script.
The visualisations page uses a multi-level random effects model to conduct the meta-analyses ( rma.mv function of metafor). Random-effect models allow for variability between studies and unique data points. To be specific, in our models a random intercept was defined for each sample (group of participants), since data from the same sample can be expected to be more similar than from a different sample. Further, a random intercept for each study was added, as data from the same study can be expected to be more similar than from a different study. This, thereby also accounts for cases in which the same sample contributed to data in two different studies.
The meta-analytic models are accessible in the script server.R
MetaVoice aims to follow open science practices, and the related FAIR principles (Reference). Therefore, all of the datasets used on this website can be downloaded. Working with unknown datasets can be challenging. The following information is supposed to help you understand the metavoice dataset.
This page gives the full specification for each field in the metavoice dataset, including: required fields (which must be included for every MA), optional fields (which are only used for some MAs), and derived fields (which are computed by the site).
You can download the data from both the home page and the visualization page.
From the home page
1.1. Click on the box corresponding to the domain you are interested in (e.g. Schizophrenia, Autism Spectrum Disorder, Hemisphere Damage).
1.2. Once you are on the page of the domain, click on the box corresponding to the meta-analysis you are interested in.
1.3. In the data tab, click on the “Download” button.
1.4. Choose the data format that you want (EXCEL - recommended for manual calculations using a spreadsheet software - but you should make sure that your local spreadsheet software is set to use “.” as decimal separator to avoid errors, or CSV - recommended for reading into a statistical software such as R) by clicking on it in the conditional menu.
From the visualization page.
2.1. Open the “Domain” drop-down menu and click on the one you are interested in.
2.2. Open the “Dataset” drop-down menu and click on the meta-analysis you are interested in.
2.3. Open the “Feature” drop-down menu and click on the feature you are interested in.
2.4. Click on the “Download data” button above the “Dataset” menu. This will download the data in CSV format. You can also click on “View raw dataset” and follow steps 1.2. and 1.3.
From the documentation page.
3.1. Open the “Datasets” tab and click on the dataset you are interested in.
3.2. Click on the “Download data” button above the “Dataset” menu. You can also click on “View raw dataset” and follow steps 1.2. and 1.3.
3.3. Choose the data format that you want (EXCEL - recommended for manual calculations using a spreadsheet software - but you should make sure that your local spreadsheet software is set to use “.” as decimal separator to avoid errors, or CSV - recommended for reading into a statistical software such as R) by clicking on it in the conditional menu.
For a more detailed tutorial on how to open and work with the data in excel, see the MetaLab Tutorial. In case you are encountering problems with opening the data in excel, you can also find troubleshooting of common issues on the MetaLab Tutorial. If you cannot find help there, you are also welcome to email one of the team members.
Please cite publications linked to the dataset, as described in Publications